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349 Courses

Course

Software Development with GitHub Copilot

  • IntermediateSkill Level
  • 4.8+
  • 781 reviews

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

Artificial Intelligence

1 hour 30 min

Course

Writing Efficient Python Code

  • IntermediateSkill Level
  • 4.8+
  • 2,409 reviews

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

Software Development

4 hours

Course

ETL and ELT in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,518 reviews

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

Data Engineering

4 hours

Course

Intermediate Deep Learning with PyTorch

  • IntermediateSkill Level
  • 4.8+
  • 2,083 reviews

Learn about fundamental deep learning architectures such as CNNs, RNNs, LSTMs, and GRUs for modeling image and sequential data.

Artificial Intelligence

4 hours

Course

Reports in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 2,904 reviews

Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Data Visualization

3 hours

Course

AI-Assisted Coding for Developers

  • IntermediateSkill Level
  • 4.8+
  • 819 reviews

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Artificial Intelligence

1 hour 30 min

Course

Writing Functions in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,667 reviews

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

Software Development

4 hours

Course

Advanced Excel Functions

  • IntermediateSkill Level
  • 4.8+
  • 1,151 reviews

Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Data Manipulation

2 hours

Course

Trend Analysis in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,185 reviews

Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Data Manipulation

3 hours

Course

Intermediate GitHub Concepts

  • IntermediateSkill Level
  • 4.7+
  • 2,074 reviews

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Software Development

3 hours

Course

Introduction to FastAPI

  • IntermediateSkill Level
  • 4.7+
  • 1,501 reviews

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

Software Development

4 hours

Course

Containerization and Virtualization Concepts

  • IntermediateSkill Level
  • 4.8+
  • 2,557 reviews

Learn the essentials of VMs, containers, Docker, and Kubernetes. Understand the differences to get started!

Software Development

2 hours

Course

Introduction to Model Context Protocol (MCP)

  • IntermediateSkill Level
  • 4.8+
  • 135 reviews

Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).

Artificial Intelligence

3 hours

Course

Introduction to Regression with statsmodels in Python

  • IntermediateSkill Level
  • 4.8+
  • 2,836 reviews

Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.

Probability & Statistics

4 hours

Course

Deploying and Maintaining Assets in Power BI

  • IntermediateSkill Level
  • 4.8+
  • 3,067 reviews

Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Data Manipulation

2 hours

Course

Report Design in Power BI

  • IntermediateSkill Level
  • 4.7+
  • 2,841 reviews

Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Data Visualization

3 hours

Course

Hypothesis Testing in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,437 reviews

Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Probability & Statistics

4 hours

Course

Financial Modeling in Excel

  • IntermediateSkill Level
  • 4.8+
  • 978 reviews

Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.

Applied Finance

3 hours

Course

Introduction to Databricks SQL

  • IntermediateSkill Level
  • 4.7+
  • 658 reviews

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Data Engineering

3 hours

Course

Designing Agentic Systems with LangChain

  • IntermediateSkill Level
  • 4.8+
  • 1,882 reviews

Get to grips with the foundational components of LangChain agents and build custom chat agents.

Artificial Intelligence

3 hours

Course

Sampling in Python

  • IntermediateSkill Level
  • 4.7+
  • 3,639 reviews

Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Probability & Statistics

4 hours

Course

Data Types in Python

  • IntermediateSkill Level
  • 4.8+
  • 505 reviews

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

Software Development

4 hours

Course

Introduction to Kubernetes

  • IntermediateSkill Level
  • 4.8+
  • 1,486 reviews

In this course, you will learn the fundamentals of Kubernetes and deploy and orchestrate containers using Manifests and kubectl instructions.

Software Development

3 hours

Course

Natural Language Processing (NLP) in Python

  • IntermediateSkill Level
  • 4.8+
  • 732 reviews

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Artificial Intelligence

4 hours

Course

Hypothesis Testing in R

  • IntermediateSkill Level
  • 4.7+
  • 954 reviews

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Probability & Statistics

4 hours

FAQs

What is data science?

Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.

How can I learn data science?

You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.

What skills are required for data science?

As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.

What can I use data science for?

In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.

Is data science a good career?

Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.

Is it difficult to become a data scientist?

There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.

Does data science require coding?

Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.

How long does it take to become a data scientist?

For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.

What topics can I study within data science?

Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.

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